- Solid experience designing, building, and operating distributed systems, backend services, or data platforms in production.
- Strong backend and systems engineering skills, including service design, API design, debugging, and production operations.
- A good understanding of distributed systems fundamentals, including scalability, reliability, fault tolerance, and operational trade-offs.
- Familiarity with cloud-native infrastructure, container orchestration, CI/CD, infrastructure as code, and observability.
- Experience with data-intensive platforms, including pipelines, streaming systems, storage layers, or analytics infrastructure.
- Familiarity with privacy, security, compliance, and cost-efficiency considerations in large-scale platform environments.
- Experience applying AI or agentic tooling to engineering workflows.